Big Data Small Devices

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Pocket Data Mining

Author : Mohamed Medhat Gaber
Publisher : Springer Science & Business Media
ISBN 13 : 3319027115
Total Pages : 108 pages
Book Rating : 4.3/5 (19 download)

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Book Synopsis Pocket Data Mining by : Mohamed Medhat Gaber

Download or read book Pocket Data Mining written by Mohamed Medhat Gaber and published by Springer Science & Business Media. This book was released on 2013-10-19 with total page 108 pages. Available in PDF, EPUB and Kindle. Book excerpt: Owing to continuous advances in the computational power of handheld devices like smartphones and tablet computers, it has become possible to perform Big Data operations including modern data mining processes onboard these small devices. A decade of research has proved the feasibility of what has been termed as Mobile Data Mining, with a focus on one mobile device running data mining processes. However, it is not before 2010 until the authors of this book initiated the Pocket Data Mining (PDM) project exploiting the seamless communication among handheld devices performing data analysis tasks that were infeasible until recently. PDM is the process of collaboratively extracting knowledge from distributed data streams in a mobile computing environment. This book provides the reader with an in-depth treatment on this emerging area of research. Details of techniques used and thorough experimental studies are given. More importantly and exclusive to this book, the authors provide detailed practical guide on the deployment of PDM in the mobile environment. An important extension to the basic implementation of PDM dealing with concept drift is also reported. In the era of Big Data, potential applications of paramount importance offered by PDM in a variety of domains including security, business and telemedicine are discussed.

Big Data, Small Devices

Author : Donna Governor
Publisher :
ISBN 13 : 9781681402765
Total Pages : 0 pages
Book Rating : 4.4/5 (27 download)

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Book Synopsis Big Data, Small Devices by : Donna Governor

Download or read book Big Data, Small Devices written by Donna Governor and published by . This book was released on 2017 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: Now your students can transform their mobile phones and tablets into tools for learning about everything from weather to water quality. Big Data, Small Devices shows you how. This book is designed for Earth and environmental science teachers who want to help students tap into, organize, and deploy large data sets via their devices to investigate the world around them. Using the many available websites and free apps, students can learn to detect patterns among phenomena related to the atmosphere, biosphere, geosphere, hydrosphere, and seasons. Written by veteran teachers, Big Data, Small Devices is organized into two major parts. It covers tools that help you both find real-time data and understand what to do with the data. Then, the authors provide sample app-based activities that you can use as written or adapt to your specific needs. These days, opportunities to learn are as close as your students' personal technology. As the authors of Big Data, Small Devices note, " Allowing students to conduct investigations using their smart phone in app-based activities allows them to be more engaged in science investigations."

Small Summaries for Big Data

Author : Graham Cormode
Publisher : Cambridge University Press
ISBN 13 : 1108477445
Total Pages : 279 pages
Book Rating : 4.1/5 (84 download)

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Book Synopsis Small Summaries for Big Data by : Graham Cormode

Download or read book Small Summaries for Big Data written by Graham Cormode and published by Cambridge University Press. This book was released on 2020-11-12 with total page 279 pages. Available in PDF, EPUB and Kindle. Book excerpt: A comprehensive introduction to flexible, efficient tools for describing massive data sets to improve the scalability of data analysis.

Big Data Benchmarking

Author : Tilmann Rabl
Publisher : Springer
ISBN 13 : 3319202332
Total Pages : 157 pages
Book Rating : 4.3/5 (192 download)

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Book Synopsis Big Data Benchmarking by : Tilmann Rabl

Download or read book Big Data Benchmarking written by Tilmann Rabl and published by Springer. This book was released on 2015-06-13 with total page 157 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the thoroughly refereed post-workshop proceedings of the 5th International Workshop on Big Data Benchmarking, WBDB 2014, held in Potsdam, Germany, in August 2014. The 13 papers presented in this book were carefully reviewed and selected from numerous submissions and cover topics such as benchmarks specifications and proposals, Hadoop and MapReduce - in the different context such as virtualization and cloud - as well as in-memory, data generation, and graphs.

Big Data, Little Data, No Data

Author : Christine L. Borgman
Publisher : MIT Press
ISBN 13 : 0262529912
Total Pages : 411 pages
Book Rating : 4.2/5 (625 download)

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Book Synopsis Big Data, Little Data, No Data by : Christine L. Borgman

Download or read book Big Data, Little Data, No Data written by Christine L. Borgman and published by MIT Press. This book was released on 2017-02-03 with total page 411 pages. Available in PDF, EPUB and Kindle. Book excerpt: An examination of the uses of data within a changing knowledge infrastructure, offering analysis and case studies from the sciences, social sciences, and humanities. “Big Data” is on the covers of Science, Nature, the Economist, and Wired magazines, on the front pages of the Wall Street Journal and the New York Times. But despite the media hyperbole, as Christine Borgman points out in this examination of data and scholarly research, having the right data is usually better than having more data; little data can be just as valuable as big data. In many cases, there are no data—because relevant data don't exist, cannot be found, or are not available. Moreover, data sharing is difficult, incentives to do so are minimal, and data practices vary widely across disciplines. Borgman, an often-cited authority on scholarly communication, argues that data have no value or meaning in isolation; they exist within a knowledge infrastructure—an ecology of people, practices, technologies, institutions, material objects, and relationships. After laying out the premises of her investigation—six “provocations” meant to inspire discussion about the uses of data in scholarship—Borgman offers case studies of data practices in the sciences, the social sciences, and the humanities, and then considers the implications of her findings for scholarly practice and research policy. To manage and exploit data over the long term, Borgman argues, requires massive investment in knowledge infrastructures; at stake is the future of scholarship.

Big Data in Small Slices: Data Visualization for Communicators

Author : Dianne M. Finch-Claydon
Publisher : Taylor & Francis
ISBN 13 : 1317435354
Total Pages : 191 pages
Book Rating : 4.3/5 (174 download)

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Book Synopsis Big Data in Small Slices: Data Visualization for Communicators by : Dianne M. Finch-Claydon

Download or read book Big Data in Small Slices: Data Visualization for Communicators written by Dianne M. Finch-Claydon and published by Taylor & Francis. This book was released on 2020-12-22 with total page 191 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book offers an engaging and accessible introduction to data visualization for communicators, covering everything from data collection and analysis to the creation of effective data visuals. Straying from the typical "how to visualize data" genre often written for technical audiences, Big Data in Small Slices offers those new to data gathering and visualization the opportunity to better understand data itself. Using the concept of the "data backstory," each chapter features discussions with experts, from marine scientists to pediatricians and city government officials, who produce datasets in their daily work. The reader is guided through the process of designing effective visualizations based on their data, delving into how datasets are produced and vetted, and how to assess their weaknesses and strengths, ultimately offering readers the knowledge needed to produce their own effective data visuals. This book is an invaluable resource for anyone interested in data visualization and storytelling, from journalism and communications students to public relations professionals. A detailed accompanying website features additional material for readers, including links to all the original datasets used in the text, at www.bigdatainsmallslices.com

Computational Intelligence for Multimedia Big Data on the Cloud with Engineering Applications

Author : Arun Kumar Sangaiah
Publisher : Academic Press
ISBN 13 : 0128133279
Total Pages : 362 pages
Book Rating : 4.1/5 (281 download)

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Book Synopsis Computational Intelligence for Multimedia Big Data on the Cloud with Engineering Applications by : Arun Kumar Sangaiah

Download or read book Computational Intelligence for Multimedia Big Data on the Cloud with Engineering Applications written by Arun Kumar Sangaiah and published by Academic Press. This book was released on 2018-08-21 with total page 362 pages. Available in PDF, EPUB and Kindle. Book excerpt: Computational Intelligence for Multimedia Big Data on the Cloud with Engineering Applications covers timely topics, including the neural network (NN), particle swarm optimization (PSO), evolutionary algorithm (GA), fuzzy sets (FS) and rough sets (RS), etc. Furthermore, the book highlights recent research on representative techniques to elaborate how a data-centric system formed a powerful platform for the processing of cloud hosted multimedia big data and how it could be analyzed, processed and characterized by CI. The book also provides a view on how techniques in CI can offer solutions in modeling, relationship pattern recognition, clustering and other problems in bioengineering. It is written for domain experts and developers who want to understand and explore the application of computational intelligence aspects (opportunities and challenges) for design and development of a data-centric system in the context of multimedia cloud, big data era and its related applications, such as smarter healthcare, homeland security, traffic control trading analysis and telecom, etc. Researchers and PhD students exploring the significance of data centric systems in the next paradigm of computing will find this book extremely useful. Presents a brief overview of computational intelligence paradigms and its significant role in application domains Illustrates the state-of-the-art and recent developments in the new theories and applications of CI approaches Familiarizes the reader with computational intelligence concepts and technologies that are successfully used in the implementation of cloud-centric multimedia services in massive data processing Provides new advances in the fields of CI for bio-engineering application

Big Data

Author : Balamurugan Balusamy
Publisher : John Wiley & Sons
ISBN 13 : 1119701821
Total Pages : 370 pages
Book Rating : 4.1/5 (197 download)

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Book Synopsis Big Data by : Balamurugan Balusamy

Download or read book Big Data written by Balamurugan Balusamy and published by John Wiley & Sons. This book was released on 2021-04-13 with total page 370 pages. Available in PDF, EPUB and Kindle. Book excerpt: Learn Big Data from the ground up with this complete and up-to-date resource from leaders in the field Big Data: Concepts, Technology, and Architecture delivers a comprehensive treatment of Big Data tools, terminology, and technology perfectly suited to a wide range of business professionals, academic researchers, and students. Beginning with a fulsome overview of what we mean when we say, “Big Data,” the book moves on to discuss every stage of the lifecycle of Big Data. You’ll learn about the creation of structured, unstructured, and semi-structured data, data storage solutions, traditional database solutions like SQL, data processing, data analytics, machine learning, and data mining. You’ll also discover how specific technologies like Apache Hadoop, SQOOP, and Flume work. Big Data also covers the central topic of big data visualization with Tableau, and you’ll learn how to create scatter plots, histograms, bar, line, and pie charts with that software. Accessibly organized, Big Data includes illuminating case studies throughout the material, showing you how the included concepts have been applied in real-world settings. Some of those concepts include: The common challenges facing big data technology and technologists, like data heterogeneity and incompleteness, data volume and velocity, storage limitations, and privacy concerns Relational and non-relational databases, like RDBMS, NoSQL, and NewSQL databases Virtualizing Big Data through encapsulation, partitioning, and isolating, as well as big data server virtualization Apache software, including Hadoop, Cassandra, Avro, Pig, Mahout, Oozie, and Hive The Big Data analytics lifecycle, including business case evaluation, data preparation, extraction, transformation, analysis, and visualization Perfect for data scientists, data engineers, and database managers, Big Data also belongs on the bookshelves of business intelligence analysts who are required to make decisions based on large volumes of information. Executives and managers who lead teams responsible for keeping or understanding large datasets will also benefit from this book.

Research Anthology on Big Data Analytics, Architectures, and Applications

Author : Management Association, Information Resources
Publisher : IGI Global
ISBN 13 : 1668436639
Total Pages : 1988 pages
Book Rating : 4.6/5 (684 download)

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Book Synopsis Research Anthology on Big Data Analytics, Architectures, and Applications by : Management Association, Information Resources

Download or read book Research Anthology on Big Data Analytics, Architectures, and Applications written by Management Association, Information Resources and published by IGI Global. This book was released on 2021-09-24 with total page 1988 pages. Available in PDF, EPUB and Kindle. Book excerpt: Society is now completely driven by data with many industries relying on data to conduct business or basic functions within the organization. With the efficiencies that big data bring to all institutions, data is continuously being collected and analyzed. However, data sets may be too complex for traditional data-processing, and therefore, different strategies must evolve to solve the issue. The field of big data works as a valuable tool for many different industries. The Research Anthology on Big Data Analytics, Architectures, and Applications is a complete reference source on big data analytics that offers the latest, innovative architectures and frameworks and explores a variety of applications within various industries. Offering an international perspective, the applications discussed within this anthology feature global representation. Covering topics such as advertising curricula, driven supply chain, and smart cities, this research anthology is ideal for data scientists, data analysts, computer engineers, software engineers, technologists, government officials, managers, CEOs, professors, graduate students, researchers, and academicians.

Big Data For Small Business For Dummies

Author : Bernard Marr
Publisher : John Wiley & Sons
ISBN 13 : 1119027039
Total Pages : 256 pages
Book Rating : 4.1/5 (19 download)

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Book Synopsis Big Data For Small Business For Dummies by : Bernard Marr

Download or read book Big Data For Small Business For Dummies written by Bernard Marr and published by John Wiley & Sons. This book was released on 2016-01-05 with total page 256 pages. Available in PDF, EPUB and Kindle. Book excerpt: Capitalise on big data to add value to your small business Written by bestselling author and big data expert Bernard Marr, Big Data For Small Business For Dummies helps you understand what big data actually is—and how you can analyse and use it to improve your business. Free of confusing jargon and complemented with lots of step-by-step guidance and helpful advice, it quickly and painlessly helps you get the most from using big data in a small business. Business data has been around for a long time. Unfortunately, it was trapped away in overcrowded filing cabinets and on archaic floppy disks. Now, thanks to technology and new tools that display complex databases in a much simpler manner, small businesses can benefit from the big data that's been hiding right under their noses. With the help of this friendly guide, you'll discover how to get your hands on big data to develop new offerings, products and services; understand technological change; create an infrastructure; develop strategies; and make smarter business decisions. Shows you how to use big data to make sense of user activity on social networks and customer transactions Demonstrates how to capture, store, search, share, analyse and visualise analytics Helps you turn your data into actionable insights Explains how to use big data to your advantage in order to transform your small business If you're a small business owner or employee, Big Data For Small Business For Dummies helps you harness the hottest commodity on the market today in order to take your company to new heights.

Data Science

Author : Qurban A Memon
Publisher : CRC Press
ISBN 13 : 0429554354
Total Pages : 345 pages
Book Rating : 4.4/5 (295 download)

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Book Synopsis Data Science by : Qurban A Memon

Download or read book Data Science written by Qurban A Memon and published by CRC Press. This book was released on 2019-09-26 with total page 345 pages. Available in PDF, EPUB and Kindle. Book excerpt: The aim of this book is to provide an internationally respected collection of scientific research methods, technologies and applications in the area of data science. This book can prove useful to the researchers, professors, research students and practitioners as it reports novel research work on challenging topics in the area surrounding data science. In this book, some of the chapters are written in tutorial style concerning machine learning algorithms, data analysis, information design, infographics, relevant applications, etc. The book is structured as follows: • Part I: Data Science: Theory, Concepts, and Algorithms This part comprises five chapters on data Science theory, concepts, techniques and algorithms. • Part II: Data Design and Analysis This part comprises five chapters on data design and analysis. • Part III: Applications and New Trends in Data Science This part comprises four chapters on applications and new trends in data science.

Big Data

Author : Viktor Mayer-Schönberger
Publisher : Houghton Mifflin Harcourt
ISBN 13 : 0544002695
Total Pages : 257 pages
Book Rating : 4.5/5 (44 download)

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Book Synopsis Big Data by : Viktor Mayer-Schönberger

Download or read book Big Data written by Viktor Mayer-Schönberger and published by Houghton Mifflin Harcourt. This book was released on 2013 with total page 257 pages. Available in PDF, EPUB and Kindle. Book excerpt: A exploration of the latest trend in technology and the impact it will have on the economy, science, and society at large.

Handbook of Research on Big Data and the IoT

Author : Kaur, Gurjit
Publisher : IGI Global
ISBN 13 : 1522574336
Total Pages : 568 pages
Book Rating : 4.5/5 (225 download)

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Book Synopsis Handbook of Research on Big Data and the IoT by : Kaur, Gurjit

Download or read book Handbook of Research on Big Data and the IoT written by Kaur, Gurjit and published by IGI Global. This book was released on 2019-03-29 with total page 568 pages. Available in PDF, EPUB and Kindle. Book excerpt: The increase in connected devices in the internet of things (IoT) is leading to an exponential increase in the data that an organization is required to manage. To successfully utilize IoT in businesses, big data analytics are necessary in order to efficiently sort through the increased data. The combination of big data and IoT can thus enable new monitoring services and powerful processing of sensory data streams. The Handbook of Research on Big Data and the IoT is a pivotal reference source that provides vital research on emerging trends and recent innovative applications of big data and IoT, challenges facing organizations and the implications of these technologies on society, and best practices for their implementation. While highlighting topics such as bootstrapping, data fusion, and graph mining, this publication is ideally designed for IT specialists, managers, policymakers, analysts, software engineers, academicians, and researchers.

Pocket Data Mining

Author : Mohamed Medhat Gaber
Publisher :
ISBN 13 : 9783319027128
Total Pages : 120 pages
Book Rating : 4.0/5 (271 download)

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Book Synopsis Pocket Data Mining by : Mohamed Medhat Gaber

Download or read book Pocket Data Mining written by Mohamed Medhat Gaber and published by . This book was released on 2013-11-30 with total page 120 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Solving Large Scale Learning Tasks. Challenges and Algorithms

Author : Stefan Michaelis
Publisher : Springer
ISBN 13 : 3319417061
Total Pages : 387 pages
Book Rating : 4.3/5 (194 download)

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Book Synopsis Solving Large Scale Learning Tasks. Challenges and Algorithms by : Stefan Michaelis

Download or read book Solving Large Scale Learning Tasks. Challenges and Algorithms written by Stefan Michaelis and published by Springer. This book was released on 2016-07-02 with total page 387 pages. Available in PDF, EPUB and Kindle. Book excerpt: In celebration of Prof. Morik's 60th birthday, this Festschrift covers research areas that Prof. Morik worked in and presents various researchers with whom she collaborated. The 23 refereed articles in this Festschrift volume provide challenges and solutions from theoreticians and practitioners on data preprocessing, modeling, learning, and evaluation. Topics include data-mining and machine-learning algorithms, feature selection and feature generation, optimization as well as efficiency of energy and communication.

16th International Conference on Soft Computing Models in Industrial and Environmental Applications (SOCO 2021)

Author : Hugo Sanjurjo González
Publisher : Springer Nature
ISBN 13 : 3030878694
Total Pages : 840 pages
Book Rating : 4.0/5 (38 download)

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Book Synopsis 16th International Conference on Soft Computing Models in Industrial and Environmental Applications (SOCO 2021) by : Hugo Sanjurjo González

Download or read book 16th International Conference on Soft Computing Models in Industrial and Environmental Applications (SOCO 2021) written by Hugo Sanjurjo González and published by Springer Nature. This book was released on 2021-09-22 with total page 840 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book of Advances in Intelligent and Soft Computing contains accepted papers presented at SOCO 2021 conference held in the beautiful and historic city of Bilbao (Spain), in September 2021. Soft computing represents a collection or set of computational techniques in machine learning, computer science, and some engineering disciplines, which investigate, simulate, and analyze very complex issues and phenomena. After a through peer-review process, the 16th SOCO 2021 International Program Committee selected 78 papers which are published in these conference proceedings and represents an acceptance rate of 48%. In this relevant edition, a special emphasis is put on the organization of special sessions. Seven special sessions are organized related to relevant topics as follows: applications of machine learning in computer vision; soft computing applied to autonomous robots and renewable energy systems; optimization, modeling, and control by soft computing techniques (OMCS); challenges and new approaches toward artificial intelligence deployments in real-world scenarios; time series forecasting in industrial and environmental applications (TSF); soft computing methods in manufacturing and management systems and applied machine learning. The selection of papers was extremely rigorous in order to maintain the high quality of the conference, and we would like to thank the members of the program committees for their hard work in the reviewing process. This is a crucial process to the creation of a high standard conference, and the SOCO conference would not exist without their help.

Intelligent Computing on IoT 2.0, Big Data Analytics, and Block Chain Technology

Author : Mohammad S. Obaidat
Publisher : CRC Press
ISBN 13 : 1040019633
Total Pages : 418 pages
Book Rating : 4.0/5 (4 download)

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Book Synopsis Intelligent Computing on IoT 2.0, Big Data Analytics, and Block Chain Technology by : Mohammad S. Obaidat

Download or read book Intelligent Computing on IoT 2.0, Big Data Analytics, and Block Chain Technology written by Mohammad S. Obaidat and published by CRC Press. This book was released on 2024-05-23 with total page 418 pages. Available in PDF, EPUB and Kindle. Book excerpt: The book is designed as a reference text and explores the concepts and techniques of IoT, artificial intelligence (AI), and blockchain. It also discusses the possibility of applying blockchain for providing security in various domains. The specific highlight of this book is focused on the application of integrated technologies in enhancing data models, better insights and discovery, intelligent predictions, smarter finance, smart retail, global verification, transparent governance, and innovative audit systems. The book discusses the potential of blockchain to significantly increase data while boosting accuracy and integrity in IoT-generated data and AI-processed information. It elucidates definitions, concepts, theories, and assumptions involved in smart contracts and distributed ledgers related to IoT systems and AI approaches. The book offers real-world uses of blockchain technologies in different IoT systems and further studies its influence in supply chains and logistics, the automotive industry, smart homes, the pharmaceutical industry, agriculture, and other areas. It also presents readers with ways of employing blockchain in IoT and AI, helping them to understand what they can and cannot do with blockchain. The book is aimed primarily at advanced undergraduates and graduates studying computer science, computer engineering, electrical engineering, information systems, computational sciences, artificial intelligence, and information technology. Researchers and professionals will also find this book very useful.